Recent progress in artificial intelligence (AI) has boosted the computational possibilities in
fields in which standard computers are not able to perform adequately. The AI paradigm is to …

High-dimensional and incomplete (HDI) data subject to the nonnegativity constraints are
commonly encountered in a big data-related application concerning the interactions among …

Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

In many studies, it is common to use binary (ie, unweighted) edges to examine networks of
entities that are either adjacent or not adjacent. Researchers have generalized such binary …

Wireless body area network (WBAN) is a crucial tool in modern medical areas. This refers to
the intelligent interconnection of wireless sensor nodes installed outside or inside the …

Wind energy has been widely applied in power generation to alleviate climate problems.
The wind turbine layout of a wind farm is a primary factor of impacting power conversion …

Strategic subsampling has become a focal point due to its effectiveness in compressing
data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This …

Ultrasound imaging is widely used in medical diagnosis. It has the advantages of being
performed in real time, cost-efficient, noninvasive, and nonionizing. The traditional delay …

The search for clean energy alternatives to fossil fuels has been a major effort by
researchers all over the world. Wind energy is one of the most optimal choices because of its …

This work explains in detail the theory behind Complex-Valued Neural Network (CVNN),
including Wirtinger calculus, complex backpropagation, and basic modules such as complex …